Full-Time
Field & Cloud DevOps Engineer
Edge Infrastructure
Volt AI
11-50 employees
AI-driven security monitoring with plug-and-play deployment
Compensation Overview
$135k - $160k/yr
California, USA
In Person
On-site role in the San Francisco Bay Area.
 DevOps & Infrastructure (1) |
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- Experience with edge computing or on-prem deployments
- Familiarity with IP camera systems, RTSP, video infrastructure and Video Management Systems
- Experience with infrastructure-as-code (Terraform or CloudFormation)
- Experience managing or optimizing cloud infrastructure costs
- Background working in fast-moving startup environments
- Own end-to-end infrastructure operations spanning customer sites, edge devices, and AWS production environments
- Plan and execute customer deployments in collaboration with customer IT teams, including leading technical discussions around network architecture, security requirements, and deployment constraints, translating customer IT policies into executable deployment plans, and driving deployment readiness and timelines to ensure on-time launches
- Deploy, configure, and maintain edge compute hardware in customer environments, including installing and maintaining Linux-based operating systems, creating, deploying, and updating standardized golden images, managing OS patches, drivers, firmware, and security updates, and diagnosing hardware, OS, and performance issues remotely and on-site
- Design, integrate, and troubleshoot customer-side networking, including VLANs, firewall rules, NAT, routing, and bandwidth constraints, IP camera and video infrastructure (RTSP, ONVIF, PoE, managed switches), and operating effectively within locked-down or highly regulated networks
- Build and operate AWS-based infrastructure supporting edge systems, including Kubernetes (EKS) clusters and containerized workloads, CI/CD pipelines for deployment and upgrades, and logging, monitoring, and alerting across distributed systems
- Develop and maintain automation and internal tooling, including Python for deployment automation, operational tooling, and system workflows, shell scripting for provisioning, configuration, and diagnostics, and tools that reduce manual effort and improve deployment repeatability
- Ensure reliable edge-to-cloud connectivity and data flow, debugging failures across networking, software, and infrastructure boundaries
- Lead incident response and operational debugging across edge and cloud systems, driving issues to root cause and permanent resolution
- Own infrastructure cost visibility and optimization, including monitoring and analyzing AWS spend, implementing right-sizing, scaling, and cost controls, and working with external cost-optimization partners and tooling
- Feed real-world deployment and operations insights back into product and infrastructure design, improving reliability and scalability
- Experience with edge computing or on-prem deployments
- Familiarity with IP camera systems, RTSP, video infrastructure and Video Management Systems
- Experience with infrastructure-as-code (Terraform or CloudFormation)
- Experience managing or optimizing cloud infrastructure costs
- Background working in fast-moving startup environments
Volt AI provides AI-driven security solutions that integrate with existing camera setups. Its plug‑and‑play edge device installs in minutes and powers an AI monitoring system that analyzes feeds from all cameras to create a holistic view of the environment. A 3D mapping feature helps with incident management, enabling faster response across commercial facilities, industrial sites, and public spaces. Real-time notifications focus on actual events, aiming to eliminate false alarms and achieve high accuracy. Revenue comes from subscription services and one-time setup fees, creating a predictable, scalable income stream. Unlike others, Volt AI emphasizes quick installation, seamless integration with current infrastructure, and centralized, cross-camera monitoring to reduce costs while boosting security effectiveness. The goal is to provide reliable, efficient security monitoring that improves outcomes for clients by delivering actionable alerts and streamlined incident handling.
Company Size
11-50
Company Stage
Series A
Total Funding
$12M
Headquarters
Washington DC, District of Columbia
Founded
2019
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Simplify's Take
What believers are saying
- Works with legacy infrastructure, enabling fast deployments without camera replacement.
- CENTEGIX integration expands reach into schools, campuses, and government facilities.
- Automated SMS, email, portal, and 911 escalation shortens response times.
What critics are saying
- Human verification adds labor cost and slows response versus fully automated rivals.
- Point-solution vendors and OEM bundles can undercut pricing with narrower offerings.
- A single false-negative incident can damage trust after safety-critical deployments.
What makes Volt AI unique
- Unifies existing cameras into a single 3D digital twin.
- Uses human-verified alerts to suppress false positives before escalation.
- Covers weapons, fights, medical emergencies, unauthorized access, and loitering.
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Benefits
Competitive compensation packages
Health Insurance
401(k) Retirement Plan
Remote Work Options
Hybrid Work Options
Flexible Work Hours
Paid Vacation
Paid Holidays
Paid Sick Leave
Sabbatical Leave
Performance Bonus
Stock Options
Company Equity
Mentorship Program
Professional Development Budget
Conference Attendance Budget
Training Programs
Tuition Reimbursement
Professional Certification Support
Wellness Program
Mental Health Support
Gym Membership
Phone/Internet Stipend
Home Office Stipend
Relocation Assistance
Employee Discounts
Company Social Events
Growth & Insights and Company News
6 month growth
↓ -8%1 year growth
↓ -11%2 year growth
↓ -8%Artificial intelligence (AI) projects are set to comprise up to 10% of companies’ IT budgets. That’s according to a report Sunday (May 12) by Seeking Alpha, citing research by Wedbush. As the report notes, it’s a dramatic jump in AI spending, which last year accounted for under 1% of IT spending. “While the first wave of the AI Revolution is being led by the Godfather of AI Jensen and Nvidia along with Nadella/Redmond … now the 2nd/3rd/4th derivatives of this $1 trillion of spending over the next decade is hitting the shores of the tech sector,” a Wedbush note said
New York City, the concrete jungle where dreams are made, is now dreaming of a new kind of dominance: artificial intelligence. The metropolis, long known for its towering skyscrapers and fast-paced financial district, is setting its sights on becoming the next Silicon Valley, according to a report by Accenture and interviews with business leaders and AI experts. From the bustling streets of Manhattan to the hipster havens of Brooklyn, the city is abuzz with talk of AI. Companies are funneling resources into AI while the city’s professionals seek to capitalize on this emerging technology’s potential
Series A Round Fuels Volt AI's Ongoing Mission to Elevate Safety & Security for Organizations and Communities.